MedTourEasy Logo

MedTourEasy

Machine Learning Engineer

Reposted 2 Days Ago
In-Office or Remote
Hiring Remotely in United States
1M-1M Annually
Entry level
In-Office or Remote
Hiring Remotely in United States
1M-1M Annually
Entry level
Develop, implement, and deploy scalable machine learning models for healthcare solutions. Collaborate cross-functionally to integrate models, analyze data to improve performance, ensure data quality, and stay current with ML advancements to support patient care and operational efficiency.
The summary above was generated by AI
Company Overview

MedTourEasy, a global healthcare company, provides you the informational resources needed to evaluate your global options. MedTourEasy provides analytical solutions to our partner healthcare providers globally.

Job Title

Machine Learning Engineer

Job Location
  • Bengaluru, India

  • Gurgaon, India

  • New Delhi, India

  • Noida, India

  • International

Years of Experience

0-5 years

Job Description

As a Machine Learning Engineer at Medtoureasy, you will be at the forefront of developing and implementing machine learning models that drive our innovative healthcare solutions. You will collaborate with cross-functional teams to design, build, and deploy scalable machine learning systems that enhance patient care and operational efficiency. Your role will involve leveraging advanced machine learning techniques, ensuring model accuracy, and contributing to the continuous improvement of our healthcare services.

Key Responsibilities
  • Design and develop machine learning models to solve complex healthcare challenges.

  • Implement scalable and efficient machine learning algorithms and systems.

  • Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows.

  • Analyze and interpret data to improve model performance and accuracy.

  • Stay updated with the latest advancements in machine learning and healthcare technology.

  • Ensure the integrity and quality of data used in model training and evaluation.

  • Contribute to the development of innovative healthcare solutions through machine learning insights.

Required Skills
  • Strong understanding of machine learning algorithms and techniques.

  • Proficiency in programming languages such as Python, R, or Java.

  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

  • Excellent problem-solving and analytical skills.

  • Strong communication and collaboration abilities.

  • Ability to work in a fast-paced, dynamic environment.

  • Commitment to continuous learning and staying updated with the latest machine learning trends.

Why Join Us?

At Medtoureasy, you will be part of a dynamic team that is passionate about transforming healthcare through data-driven insights and machine learning. We offer a collaborative work environment, opportunities for professional growth, and the chance to make a meaningful impact in the healthcare industry.

Similar Jobs

4 Hours Ago
In-Office or Remote
120K-215K Annually
Senior level
120K-215K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, deploy, and operate production AI/ML systems, including conversational chatbot and virtual assistant platforms. Build and optimize machine learning models, MLOps frameworks, CI/CD pipelines, and containerized deployments. Collaborate with architecture teams, business stakeholders, and technology vendors to create secure, scalable solutions. Maintain architecture diagrams, promote observability and automation, evaluate emerging AI trends, and support model governance, privacy, and ethical AI practices.
Top Skills: Artificial IntelligenceCi/CdDeep LearningDockerFine-TuningJavaKubernetesLarge Language ModelsMachine LearningMicrosoftMlopsMongoDBNatural Language ProcessingPalantirPrompt EngineeringPythonRetrieval-Augmented GenerationScalaSQL
20 Hours Ago
In-Office or Remote
Seattle, WA, USA
148K-233K Annually
Entry level
148K-233K Annually
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and ship intelligent search capabilities for Atlassian’s Rovo Chat and AI workflows. Responsibilities include developing ML-powered search features spanning query understanding, retrieval, ranking, and answer generation; maintaining production ML pipelines; applying reranking, embeddings, and reinforcement learning; conducting offline evaluations and online A/B tests; collaborating cross-functionally; and improving evaluation infrastructure and data tooling.
Top Skills: A/B TestingEmbedding ModelsInformation RetrievalLarge Language ModelsMachine LearningNlpReinforcement LearningRovo
20 Hours Ago
In-Office or Remote
196K-309K Annually
Entry level
196K-309K Annually
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Set technical direction for Confluence AI initiatives and build production-grade machine learning systems at scale. Lead customer-facing AI development across retrieval, ranking, prompting, evaluation, experimentation, reliability, and multimodal experiences. Translate ambiguous product opportunities into measurable technical strategies, make architectural decisions balancing quality, latency, cost, safety, and maintainability, and partner across engineering, product, design, analytics, and platform teams. Mentor engineers, lead design reviews, and establish reusable patterns for multiple AI teams.
Top Skills: Artificial IntelligenceAutomated EvaluationExperimentation InfrastructureMachine LearningMultimodal AiPrompt EngineeringRanking SystemsRetrieval Systems

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account